Businesses have a growing source of data from a variety of technologies such as sensors, RFID tags, barcodes and GPS, sometimes referred to as the “internet of things”. This information can be used to develop new business models, improve operations and customize offering to current and future clients. In this talk Professor Simchi-Levi will outline how big data and decision science (i) help Ford Motor Company change the way they manage its supply network to reduce risk and increase resilience; (ii) change the way Rue La La, an online Retailer, use machine learning and price optimization to improve revenue; and (iii) motivated Rolls-Royce to introduce a new business model where the company offers customers to monitor engines and charge based on usage time.
David Simchi-Levi is a Professor of Engineering Systems at MIT and Chairman of OPS Rules Management Consultants, an operations strategy consulting company. He is considered one of the premier thought leaders in supply chain management.
His research focuses on developing and implementing robust and efficient techniques for logistics and manufacturing systems. He has published widely in professional journals on both practical and theoretical aspects of logistics and supply chain management.
Professor Simchi-Levi coauthored the books Managing the Supply Chain (McGraw-Hill, 2004), The Logic of Logistics (Springer 2005), as well as the award winning Designing and Managing the Supply Chain (McGraw-Hill, 2007). His new book Operations Rules: Delivering Customer Value through Flexible Operations was published by MIT Press in 2011.
Professor Simchi-Levi has consulted and collaborated extensively with private and public organizations. He is the founder of LogicTools which provides software solutions and professional services for supply chain planning. LogicTools is now part of IBM.